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Department: SOM KC Internal Medicine - Weight Management ----- KU Weight Management Position Title: Post Doc Fellow - Internal Medicine (Physical Activity & Weight Management) Job Family Group
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Title: Post-doc position Discipline: Process Mineralogy, Mineral Processing, Artificial Intelligence Duration:12 months, with the possibility of renewal for an additional 12 months Institutions
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the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process
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models that predict post-fabrication device characteristics from process parameters. You will engage with complex, high-dimensional datasets derived from real fabrication workflows, including microscopy
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 8 hours ago
. The post-holder will be responsible for bringing forward an innovative programme of work to investigate the impact of the OptiMAx programme through mixed-methods process evaluation and gender analysis
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, folding, or biophysics. Physical Demands Salary Range $70,000 - $85,000 Special Instructions Summary Is a background check required for this posting? No Contact Information Contact's Name: Thomas Grant
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Posting Details Position Information Fiscal Year 2025-2026 Position Title Postdoctoral Fellow, Structural Biology Classification Title Postdoctoral Associate Department Structural Biology Department
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the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process
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the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/. The University, at its discretion, may undertake to make
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prediction? You will join the project “From Toy to Cloud Modelling: Leveraging Molecular Simulations to Improve Atmospheric Models of Ice Nucleation” (NERC APP25329). The project is developing physically